Project-AgML/maize_disease_classification

Maize Disease Classification

A dataset for disease classification of Maize leaves. The dataset contains 9,356 images across 3 classes: Healthy, MLN, MSV.
Images per class:

• Healthy: 3,073
• MLN: 3,231
• MSV: 3,052

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{mduma2024updating,
  title={Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new farming season},
  author={Mduma, Neema and Mayo, Flavia},
  journal={Data in Brief},
  volume={54},
  pages={110359},
  year={2024},
  publisher={Elsevier}
}

Mduma, Neema; Mayo, Flavia (2023), “Maize Imagery Dataset - Tanzania”, Mendeley Data, V1, doi: 10.17632/fkw49mz3xs.1